Prevalence and prediction of dropout during depression treatment in routine outpatient care: an observational study.

Efficacious treatments are available for major depressive disorder (MDD), but treatment dropout is common and decreases their effectiveness. However, knowledge about prevalence of treatment dropout and its risk factors in routine care is limited. The objective of this study was to determine the prevalence of and risk factors for dropout in a large outpatient sample. In this retrospective cohort analysis, routinely collected data from 2235 outpatients with MDD who had a diagnostic work-up between 2014 and 2016 were examined. Dropout was defined as treatment termination without achieving remission before the fourth session within six months after its start. Total and item scores on the Dutch Measure for Quantification of Treatment Resistance in Depression (DM-TRD) at baseline, and demographic variables were analyzed for their association with dropout using logistic regression and elastic net analyses. Data of 987 subjects who started routine outpatient depression treatment were included in the analyses of which 143 (14.5%) dropped out. Higher DM-TRD-scores were predictive for lower dropout odds [OR = 0.78, 95% CI = (0.70-0.86), p < 0.001]. The elastic net analysis revealed several clinical variables predictive for dropout. Higher SES, higher depression severity, comorbid personality pathology and a comorbid anxiety disorder were significantly associated with less dropout in the sample. In this observational study, treatment dropout was relatively low. The DM-TRD, an easy-to-use clinical instrument, revealed several variables associated with less dropout. When applied in daily practice and combined with demographical information, this instrument may help to reduce dropout and increase treatment effectiveness.

Predicting clinical course in major depressive disorder: The association between DM-TRD score and symptom severity over time in 1115 outpatients.

BACKGROUND: The Dutch Measure for Quantification of Treatment Resistance in Depression (DM-TRD) is a promising prediction tool for major depressive disorder (MDD) based on variables associated with treatment outcome. The objective of our study was to examine the association between the DM-TRD and clinical course in a large cohort of MDD outpatients receiving treatment as usual. Furthermore, we examined whether the addition of an item measuring the presence of childhood adversity improved this association. METHODS: We included 1115 subjects with MDD (according to the DSM-IV) who were naturalistically treated at seven outpatient departments of a secondary mental healthcare center in the Netherlands. Data on subjects who had a diagnostic work-up between June 2014 and June 2016 were analyzed. Multilevel analyses were performed to examine the association between the DM-TRD score at baseline and clinical course, defined by symptom severity according to scores on the Quick Inventory of Depressive Symptomatology-Self Report (QIDS-SR) over time. We also investigated whether an extra item measuring childhood adversity improved the model. RESULTS: The model including the DM-TRD and its interaction with time was superior to previous models. The addition of childhood adversity and its interaction with time did not improve the model. CONCLUSIONS: In depressed outpatients receiving treatment as usual, the solid longer-term association between higher DM-TRD scores and worse clinical course supports its usefulness in clinical practice. Childhood adversity did not improve the model value indicating that-counterintuitively-this parameter offers no additional predictive power to the variables included.

[Suicidal behaviour and attempted suicide occurring during assessment by the outreach psychiatric emergency service]. / Het vóórkomen van suïcidaal gedrag en suïcidepogingen bij de psychiatrische crisisdienst.

BACKGROUND: The outreach emergency psychiatric service plays an important role in recognising, arranging interventions and preventing suicide and suicidal behaviour. However, little is known about the assessments that members of the emergency team make when faced with patients showing suicidal behaviour.
AIM: To describe the relationships that are revealed between patient characteristics, suicidal thoughts and attempted suicide during assessments made by the emergency psychiatric service in The Hague.
METHOD: The emergency service kept a detailed record of 14,705 consultations. We compared the characteristics of patients who had suicidal thoughts with those of patients who had no such thoughts and we also compared the characteristics of patients who had attempted to commit suicide with those of patients who had not. We drew these comparisons by using logistic regression models, adjusting for clustering.
RESULTS: 32.2% of the patients showed signs of suicidal behaviour and 9.2 % appeared likely to attempt suicide. Suicidal behaviour occurred most often in patients with depression. Suicidal patients were more often admitted to hospital than were non-suicidal patients and they were more likely to have been referred by a general practitioner or a general hospital. Medication was the most frequent means employed in attempts to commit suicide.
CONCLUSION: In about one third of the consultations of the outreach emergency psychiatric service, the patient showed suicidal behaviour. The actions and the policy of the emergency psychiatric service with regard to suicidal behaviour were diverse and dependent on factors that could change over the course of time.